Roseospira visakhapatnamensis (DSM 19947, ATCC BAA-1365, JCM 14190)

Name: Roseospira visakhapatnamensis (DSM 19947, ATCC BAA-1365, JCM 14190)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 13963

Type strain

Strain Designation JA131

Culture col. no. DSM 19947 ATCC BAA-1365 JCM 14190 JA131

NCBI tax ID(s) 390880

Special Collections DSMZ JCM Literature strains

History DSMZ <- C. Sasikala, Bacterial Discovery Lab., Centre Environment, Inst. Sci. and Technol., J. N. T. Univ., Hyderabad, India; JA131 <- P. A. Kumar JCM <-- Ch. Sasikala JA131.

Links

Roseospira visakhapatnamensis JA131 is an obligate anaerobe, Gram-negative bacterium that was isolated from tidal water samples from a fishing harbour .

Gram-negative obligate anaerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 319391

ATCC BAA-1365,JCM 14190

@ref 20215

Last LPSN update 2026-05-29 08:28:10

Domain Bacteria

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Rhodospirillales

Family Rhodospirillaceae

Genus Roseospira

Species Roseospira visakhapatnamensis

Full scientific name Roseospira visakhapatnamensis Kalyan Chakravarthy et al. 2007

Synonyms (1)

"Rhodospira visakhapatnamensis"

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Motility	Confidence
32197	negative	4 µm	0.7 µm
125438	negative				99.5

Pigmentation

32197

Productionyes

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)
32197	positive	growth	25-35
32197	positive	optimum	30
67770	positive	growth	28

Culture pH

@ref	Ability	Type	PH
32197	positive	optimum	7
32197	positive	growth	6.5-8.0

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
8404	obligate anaerobe
32197	facultative aerobe
125439	obligate aerobe	96.567

Spore formation

@ref	Spore formation	Confidence
125439		99

Halophily

@ref	Salt	Growth	Tested relation	Concentration
32197	NaCl	positive	growth	01-05 %
32197	NaCl	positive	optimum	2 %

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
32197	35391 ChEBI	aspartate	+	carbon source
32197	29987 ChEBI	glutamate	+	carbon source
32197	29864 ChEBI	mannitol	+	carbon source
32197	15361 ChEBI	pyruvate	+	carbon source

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Terrestrial	#Tidal flat

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
8404	tidal water samples from a fishing harbour (17° 41' N 83° 18' E)	East coast, Visakhapatnam	India	IND	Asia
67770	Water samples from a fishing harbour at Visakhapatnam, a city which faces into the Bay of Bengal and is on the East coast of India

Taxonmaps

69479

Global distribution of 16S sequence AM282560 (>99% sequence identity) for Roseospira visakhapatnamensis subclade from Microbeatlas

Aquatic Samples	11
Soil Samples	1
Animal Samples	0
Plant Samples	0
Total Samples	12

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
8404	1	Risk group (German classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM1419791v1 assembly for Roseospira visakhapatnamensis JA131	scaffold	GCA_014197915	390880.3	2838118685	390880	57.68

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
8404	Roseospira visakhapatnamensis 16S rRNA gene, type strain JA131T	AM282560	1388		390880

GC content

@ref	GC-content (mol%)	Method
8404	67.0	high performance liquid chromatography (HPLC)
32197	67
67770	67	high performance liquid chromatography (HPLC)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM1419791v1 assembly for Roseospira visakhapatnamensis JA131
NCBI: GCA_014197915

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	96.57	no
125439	gram_stain	BacteriaNetⓘ	negative	85.08	no
125439	motility	BacteriaNetⓘ	yes	66.82	no
125439	spore_formation	BacteriaNetⓘ	no	99.00	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Roseospira visakhapatnamensis JA131
NCBI: GCA_014197915.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	99.50	yes
125438	anaerobic	anaerobicⓘ	no	54.22	no
125438	aerobic	aerobicⓘ	no	72.06	yes
125438	spore-forming	spore-formingⓘ	no	83.00	no
125438	thermophilic	thermophileⓘ	no	86.62	yes
125438	flagellated	motile2+ⓘ	yes	76.70	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Autotrophic bacterial production of polyhydroxyalkanoates using carbon dioxide as a sustainable carbon source.	Sathiyanarayanan G, Esteves S.	Front Bioeng Biotechnol	10.3389/fbioe.2025.1545438	2025
Phylogeny	Roseospira visakhapatnamensis sp. nov. and Roseospira goensis sp. nov.	Kalyan Chakravarthy S, Srinivas TNR, Anil Kumar P, Sasikala C, Ramana CV	Int J Syst Evol Microbiol	10.1099/ijs.0.65105-0	2007

References

#8404	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 19947
#20215	Parte, A.C., Sardà Carbasse, J., Meier-Kolthoff, J.P., Reimer, L.C. and Göker, M.: List of Prokaryotic names with Standing in Nomenclature (LPSN) moves to the DSMZ. IJSEM ( DOI 10.1099/ijsem.0.004332 )
#28439	IJSEM 2453 2007 ( DOI 10.1099/ijs.0.65105-0 , PubMed 17978198 )
#32197	Barberan A, Caceres Velazquez H, Jones S, Fierer N.: Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information. mSphere 2: 2017 ( DOI 10.1128/mSphere.00237-17 , PubMed 28776041 ) - originally annotated from #28439
#66792	Julia Koblitz, Joaquim Sardà, Lorenz Christian Reimer, Boyke Bunk, Jörg Overmann: Automatically annotated for the DiASPora project (Digital Approaches for the Synthesis of Poorly Accessible Biodiversity Information) .
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#69479	João F Matias Rodrigues, Janko Tackmann,Gregor Rot, Thomas SB Schmidt, Lukas Malfertheiner, Mihai Danaila,Marija Dmitrijeva, Daniela Gaio, Nicolas Näpflin and Christian von Mering. University of Zurich.: MicrobeAtlas 1.0 beta .
#125438	Julia Koblitz, Lorenz Christian Reimer, Rüdiger Pukall, Jörg Overmann: Predicting bacterial phenotypic traits through improved machine learning using high-quality, curated datasets. 2024 ( DOI 10.1101/2024.08.12.607695 )
#125439	Philipp Münch, René Mreches, Martin Binder, Hüseyin Anil Gündüz, Xiao-Yin To, Alice McHardy: deepG: Deep Learning for Genome Sequence Data. R package version 0.3.1 .
#126262	A. Lissin, I. Schober, J. F. Witte, H. Lüken, A. Podstawka, J. Koblitz, B. Bunk, P. Dawyndt, P. Vandamme, P. de Vos, J. Overmann, L. C. Reimer: StrainInfo—the central database for linked microbial strain identifiers. ( DOI 10.1093/database/baaf059 )

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Roseospira visakhapatnamensis (DSM 19947, ATCC BAA-1365, JCM 14190)

Name and taxonomic classification

Morphology

Cell morphology

Pigmentation

Culture and growth conditions

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Halophily

Metabolite utilization

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_014197915

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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